1. Goodarzian, F., Shishebori, D., Nasseri, H., Dadvar, F.: A bi-objective production-distribution problem in a supply chain network under grey flexible conditions.https://doi.org/10.1051/ro/202011

2. Corey, C.G., Dube, S.R., Ambrose, B.K., King, B.A., Apelberg, B.J., Husten, C.G.: CigarSmokingAmongUS Students.https://doi.org/10.1016/j.amepre.2014.05.004

3. Doll, R., Peto, R., Boreham, J., Sutherland, I.: Mortality in relation to smoking: 50 years’ observations on male British doctors. BMJ328(7455), 1519 (2004)

   Article  Google Scholar 

4. Zhou, C.: MS24. 04 challenges of tobacco control in China. J. Thoracic Oncol.13(10), S292–S293 (2018)

   Google Scholar 

5. Vineis, P., Alavanja, M., Buffler, P., Fontham, E., Franceschi, S., Gao, Y.T., Sitas, F.: Tobacco and cancer: recent epidemiological evidence. J. Natl Cancer Inst.96(2), 99–106 (2004)

   Article  Google Scholar 

6. Fathollahi-Fard, A.M., Ahmadi, A., Goodarzian, F., Cheikhrouhou, N.: A bi-objective home healthcar routing and scheduling problem considering patients’ satisfaction in a fuzzy environment. Appl. Soft Comput. 106385 (2020)

   Google Scholar 

7. Sahebjamnia, N., Goodarzian, F., Hajiaghaei-Keshteli, M.: Optimization of multi-period three-echelon citrus supply chain problem. J. Optim. Ind. Eng.13(1), 39–53 (2020)

   Google Scholar 

8. Hallit, S., Zoghbi, M., Hallit, R., Youssef, L., Costantine, R., Kheir, N., Salameh, P.: Effect of exclusive cigarette smoking and in combination with waterpipe smoking on lipoproteins. J. Epidemiol. Global Health7(4), 269–275 (2017)

   Article  Google Scholar 

9. Sun, S., Schiller, J.H., Gazdar, A.F.: Lung cancer in never smokers—a different disease. Nat. Rev. Cancer7(10), 778–790 (2007)

   Article  Google Scholar 

10. Sterman, J.: System Dynamics: systems thinking and modeling for a complex world (2002)

    Google Scholar 

11. Goodarzian, F., Hosseini-Nasab, H.: Applying a fuzzy multi-objective model for a production–distribution network design problem by using a novel self-adoptive evolutionary algorithm. Int. J. Syst. Sci. Oper. Logist. 1–22 (2019)

    Google Scholar 

12. Fakhrzad, M.B., Goodarzian, F.: A fuzzy multi-objective programming approach to develop a green closed-loop supply chain network design problem under uncertainty: modifications of imperialist competitive algorithm. RAIRO-Oper. Res.53(3), 963–990 (2019)

    Article MathSciNet  Google Scholar 

13. Fakhrzad, M.B., Talebzadeh, P., Goodarzian, F.: Mathematical formulation and solving of green closed-loop supply chain planning problem with production, distribution and transportation reliability. Int. J. Eng.31(12), 2059–2067 (2018)

    Google Scholar 

14. Goodarzian, F., Hosseini-Nasab, H., Muñuzuri, J., Fakhrzad, M.B.: A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: a comparison of meta-heuristics. Appl. Soft Comput.92, 106331 (2020)

    Google Scholar 

15. Fakhrzad, M.B., Goodarzian, F., Golmohammadi, A.M.: Addressing a fixed charge transportation problem with multi-route and different capacities by novel hybrid meta-heuristics. J. Ind. Syst. Eng.12(1), 167–184 (2019)

    Google Scholar 

16. Goodarzian, F., Hosseini-Nasab, H., Fakhrzad, M.B.: A multi-objective sustainable medicine supply chain network design using a novel hybrid multi-objective metaheuristic algorithm. Int. J. Eng.33(10), 1986–1995 (2020)

    Google Scholar 

17. Fakhrzad, M.B., Goodarzian, F.: A new multi-objective mathematical model for a Citrus supply chain network design: metaheuristic algorithms. J. Optim. Ind. Eng. (2020)

    Google Scholar 

18. Bayer, S.: Business dynamics: Systems thinking and modeling for a complex world (2004)

    Google Scholar 

19. Wang, Q., Han, R., Huang, Q., Hao, J., Lv, N., Li, T., Tang, B.: Research on energy conservation and emissions reduction based on AHP-fuzzy synthetic evaluation model: a case study of tobacco enterprises. J. Clean. Prod.201, 88–97 (2018)

    Article  Google Scholar 

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